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Convolutional neural network code for extracting Lunar craters from Digital Elevation Maps (DEMs).

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Bumps [numpy](https://github.com/numpy/numpy) from 1.12.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 0.10.0rc0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Bumps [pillow](https://github.com/python-pillow/Pillow) from 3.1.2 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk] Restrict builtins within...

dependencies

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 0.10.0rc0 to 1.15.2. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](https://github.com/tensorflow/tensorflow/compare/v0.10.0rc0...v1.15.2) Signed-off-by: dependabot[bot]

Hi, I just found there are some difference between the equation and the code in the function estimate_longlatdiamkm from get_unique_craters.py. That is , how to convert the pixel coordinate into...

Bumps [opencv-python](https://github.com/skvark/opencv-python) from 3.2.0.6 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...

dependencies

When I use "using zenodo data.ipynb", I meet this error ![image](https://user-images.githubusercontent.com/55370336/115807234-d2f04a00-a41a-11eb-95d0-e9e6bb113df5.png) ![image](https://user-images.githubusercontent.com/55370336/115807259-e3082980-a41a-11eb-9106-d86c9d726c23.png) And I don't know how can i modify this.

The way you are cropping the images randomly to generate the datasets. Does it generates data leakage? Thanks

Can you provide Mercury DEM images?Thanks